期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (2)
In this work, we focus on the challenging task, neuro-disease classification, using functional magnetic resonance imaging (fMRI). In population graph-......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (3)
One of the limiting factors for the development and adoption of novel deep-learning (DL) based medical image analysis methods is the scarcity of label......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (4)
X-ray computed tomography (CT) is an important non-destructive imaging technique, particularly in clinical diagnostics. Even with the latest innovatio......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (4)
Deep learning models usually suffer from the domain shift issue, where models trained on one source domain do not generalize well to other unseen doma......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (4)
Photoacoustic computed tomography (PACT) images optical absorption contrast by detecting ultrasonic waves induced by optical energy deposition in mate......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (5)
Recent studies on multi-contrast MRI reconstruction have demonstrated the potential of further accelerating MRI acquisition by exploiting correlation ......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (6)
Pancreatic cancer is the emperor of all cancer maladies, mainly because there are no characteristic symptoms in the early stages, resulting in the abs......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (7)
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interest......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (8)
Increased pericardial adipose tissue (PEAT) is associated with a series of cardiovascular diseases (CVDs) and metabolic syndromes. Quantitative analys......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (12)
Despite their superior performance, deep-learning methods often suffer from the disadvantage of needing large-scale well-annotated training data. In r......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (6)
Photon counting detector (PCD)-CT has demonstrated promise to reduce ionizing radiation exposure further and improve spatial resolution. However, when......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (6)
Emerging methods of x-ray imaging that capture phase and dark-field effects are equipping medicine with complementary sensitivity to conventional radi......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (7)
Recent advancements in deep learning methods bring computer-assistance a step closer to fulfilling promises of safer surgical procedures. However, the......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (9)
Accurate medical image segmentation is of great significance for computer aided diagnosis. Although methods based on convolutional neural networks (CN......
期刊： IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023; 42 (10)
Surgical workflow analysis aims to recognise surgical phases from untrimmed surgical videos. It is an integral component for enabling context-aware co......
